Conference Information

ACALCI 2015: Australasian Conference on Artificial Life and Computational Intelligence

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Submission Date:
2014-09-20 Extended
Notification Date:
2014-10-27
Conference Date:
2015-02-05
Location:
Newcastle, Australia
Viewed: 4560   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,088 of 5,651 conferences · Top 73%

#526 of 736 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-07

Call For Papers

ACALCI 2015 (Australasian Conference on Artificial Life and Computational Intelligence) is an academic conference held in Newcastle, Australia on 2015-02-05. The paper submission deadline is 2014-09-20 (extended). Acceptance notifications are sent on 2014-10-27.

Artificial life (AL) refers to models and simulations of living systems, as they appear in nature as well as to possible alternative life forms and concepts that may not have occurred in natural evolution. Computational Intelligence (CI) developed from the traditional fields of artificial intelligence into various areas of nature inspired computing and optimisation. It is often referred to as an umbrella for the areas of evolutionary computation, artificial neural networks, fuzzy systems and other learning systems. While AL attempts to understand nature through modelling and simulation, CI attempts to translate this understanding into algorithms for learning and optimisation. ACALCI features international research in AL and CI and aims at becoming an exciting forum for innovative, emerging, cross-disciplinary and sometimes exotic ideas associated with the computational and algorithmic concepts underlying living and intelligent systems. The focus is on software-based and agent-based forms of artificial life but may also include computational aspects of synthetic life. Artificial life concepts can occur on sub-cellular, cellular, cell assembly/network, organism, or society levels. ACALCI will be organised in broad technical sessions that bring together experts from different fields in AL, CI and associated areas. The forum also hopes to encourage ALCI applied research in domains as diverse as health, the creative arts and finance (to name a few). ACALCI encourages presentations, demonstrations, performances and discussions on new innovative research and interdisciplinary projects. Invited are high-quality papers relevant to AL or CI where the topics of interest include but are not limited to: Adaptive Ecologies Affective Computing AL and CI in the Creative Arts Ant Colony Optimization Applications of ALife Technologies Autonomous Agents and Robotics Architecture and CI Artificial Bee Colony Algorithms Artificial Chemistry Artificial Evolution Artificial Insects Artificial Neural Networks Artificial Societies and Markets Augmented and Virtual Realities Autonomous Agents Behaviour Simulations and Analysis Big Data Biocybernetic Computing Bioinformatics Biologically-Inspired Optimisation Brain-Computer Interfaces Braintheory Cellular Automata Chatbots Coevolution Cognitive Neuroscience Cognition and Memory Collective Intelligence Companion Robots Complex Systems Complexity of Alife Systems Computational Intelligence CI for Games Computational Neuroscience Connectionism Consciousness and AI Creative Arts, Music and CI Crowd Behaviour Analysis Data Mining in Alife and Biosystems Deep Learning Design Analysis using CI Developmental Learning Digital Societies Dimensionality Reduction Embodiment and Robotics Emergence of Collaborative Behaviour Engineering of Consciousness and Mind Epidemiology Simulations Ethics, Privacy and Security in CI Evo-Devo Modelling Evolutionary Computation Evolutionary Design Facial Expression Analysis Forecasting of Complex Systems Fractal Techniques Game Playing Agents Generative Design Human Machine Interaction Humanities and Artificial Life Humanoid Robots Image and Video Analysis Implementation Techniques in AL and CI Information Theoretic Learning Intelligent Home Automation Language Processing Legged and Crawling Robots Machine Learning Machine Olfaction Manifold Learning Mathematical Models in Alife Medical Image Analysis and CI Memetic Algorithms Metalearning Models of Emotions Multi-Agent Systems Music and Artificial Intelligence Neural Information Processing Neurodynamic Programming Networks in Alife and Biology Non-player Game Characters Nursebots and Applications in Aged Care Optimisation and Heuristics Organic Computing Origins of Life Pattern Recognition Parallel and Distributed Computing in CI Particle Swarm Optimization Philosophy of Artificial Life Recurrent Networks Reservoir Computing Robotic Agents Self-Organization Self-Replication Semi-Supervised Learning Simulation and Modelling Smart Devices Smart Grid Techniques Social Networks and Alife Sociogenetic Dynamics Spiking Neural Networks Statistical Learning Theory Support Vector Machines Swarm Algorithms Synthetic Life Computations Synthetic Biology Systems Biology Timeseries Analysis Visual Information Processing
Last updated by Dou Sun on

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